• DocumentCode
    2520795
  • Title

    Balance control for an acrobot

  • Author

    Xue, Fangzheng ; Hou, Zhicheng ; Deng, Hangjian

  • Author_Institution
    Coll. of Autom., Chongqing Univ., Chongqing, China
  • fYear
    2011
  • fDate
    23-25 May 2011
  • Firstpage
    3426
  • Lastpage
    3429
  • Abstract
    A balancing controller using LQR approach and GA method is designed for three-link acrobot. The three-link acrobot we studied is not actuated by torque but acceleration, which has more significant than the common one. We establish the model of the acrobot, which consists of two parts: actuation model and dynamic model. Using LQR method, a balancing controller is designed for the model. And genetic algorithms method is used to improve the performance of it. Simulation results show the feasibility and effectiveness of the controller.
  • Keywords
    genetic algorithms; linear quadratic control; robots; GA method; LQR approach; actuation model; balance control; balancing controller; dynamic model; genetic algorithms; three-link acrobot; Actuators; Genetic algorithms; Joints; Mathematical model; Robots; Simulation; Torque; Acrobot; Balance control; GA; LQR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2011 Chinese
  • Conference_Location
    Mianyang
  • Print_ISBN
    978-1-4244-8737-0
  • Type

    conf

  • DOI
    10.1109/CCDC.2011.5968708
  • Filename
    5968708